การเรียกฟังก์ชัน Python

Importing a module is just step one. The real payoff is calling its functions and getting results back into your Mojo program.

Use the module handle and dot syntax to call a function, exactly like in Python: module name, dot, function, parentheses.

Send arguments inside the parentheses just as you would in Python. Mojo forwards them across the bridge for you.

A Python call returns a PythonObject, a flexible wrapper that can hold any Python value the function produced.

You can print a PythonObject straight away. Mojo asks Python for its text form, so output looks just like in Python.

Because results are Python objects, you can call methods on them too, chaining calls just like fluent Python code.

Named arguments carry over the bridge as well, so you can call Python functions with keyword arguments by name.

A Python function might throw, so calling it can raise in Mojo. Put such calls in a function marked with raises.

You are not limited to functions. Read module attributes and constants the same way, with simple dot access.

Calling Python functions means the entire API of a library is available, letting you orchestrate rich logic from Mojo.

You can drive proven Python code from Mojo, mixing convenient libraries with your own fast Mojo logic in one program. 🚀

Recall what a Python function call gives back in Mojo.

You called Python functions with dot syntax, passed arguments, and received a PythonObject result you can print or reuse. 🎯